Sha Li

1.8k total citations · 1 hit paper
20 papers, 1.1k citations indexed

About

Sha Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Sha Li has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Sha Li's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and COVID-19 and healthcare impacts (2 papers). Sha Li is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and COVID-19 and healthcare impacts (2 papers). Sha Li collaborates with scholars based in China, Hong Kong and United States. Sha Li's co-authors include Kasey Halsey, Harrison X. Bai, Ji Whae Choi, Terrance T. Healey, Weihua Liao, T K Egglin, B. R. Hsieh, Mei Ji, Dongcui Wang and Saurabh Agarwal and has published in prestigious journals such as The Science of The Total Environment, Radiology and Frontiers in Immunology.

In The Last Decade

Sha Li

19 papers receiving 1.1k citations

Hit Papers

Performance of Radiologists in Differentiating COVID-19 f... 2020 2026 2022 2024 2020 250 500 750

Peers

Sha Li
Comparison fields: 5 of 100
  • Radiology, Nuclear Medicine and Imaging 643
  • Infectious Diseases 457
  • Pulmonary and Respiratory Medicine 234
  • Oncology 197
  • Critical Care and Intensive Care Medicine 133
Replace Siu Ting Leung with:
Siu Ting Leung China
Jonan Chun Yin Lee China
Kasey Halsey United States
Terrance T. Healey United States
Sana Salehi United States
Corey Eber United States
Hongxia Wang China
Michela Polici Italy
Marta Zerunian Italy
Soheil Kooraki Iran
Siu Ting Leung China View profile →
Citations per field, relative to Sha Li
Sha Li · 1×
Citations per year, relative to Sha Li
Sha Li · 1×

Countries citing papers authored by Sha Li

Since Specialization
Citations

This map shows the geographic impact of Sha Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sha Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Li more than expected).

Fields of papers citing papers by Sha Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sha Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sha Li. The network helps show where Sha Li may publish in the future.

Co-authorship network of co-authors of Sha Li

This figure shows the co-authorship network connecting the top 25 collaborators of Sha Li. A scholar is included among the top collaborators of Sha Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sha Li. Sha Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 1
4 5
5 5
6 40
7 5
8 0
9 3
10 6
11 9
12 6
13 2
14
Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT breakdown →
825
15 128
16 13
17 1
18 7
19 21
20 7

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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